I'm implementing a series of cloud deployment projects on Azure, building incrementally from basic pipelines to production-grade infrastructure. Each project demonstrates core DevOps patterns and adds complexity, showing how the same principles scale from simple deployments to distributed systems.
The Projects
Project 1: Static Site Deployment
Automated deployment pipeline using GitHub Actions, service principal authentication, and Azure Storage. Breaking down what happens under the hood when managed services handle this automatically.
Project 2: Application with Build Steps
Adding compilation, bundling, and testing gates to the pipeline. Moving from simple file uploads to proper application deployment workflows.
Project 3: Containerized Application Deployment
Docker containers, Azure Container Registry, and automated container orchestration. Understanding how containerization changes the deployment model.
Project 4: Multi-Tier Application with Infrastructure as Code
Three-tier architecture deployed using Terraform or Bicep. Networking, compute, storage, and automation combined into a complete system.
Why This Series
Each project builds on the previous one, demonstrating how deployment patterns scale from simple static sites to complex distributed systems. The goal is to understand the underlying mechanics i.e what managed services abstract away and how the core principles apply regardless of application complexity.
Other fun bits
- Because I also enjoy UI/UX and front end development I will also be putting a lot of effort into making these projects real, usable case studies!